After rechecking, this vote passed.

I'll send a vote result email. 

Dongjoon.

On 2025/12/16 11:03:39 Dongjoon Hyun wrote:
> Hi, All.
> 
> I've been working with Herman's PRs so far.
> 
> As a kind of fact checking, I need to correct two things in RC3 thread.
> 
> First, Herman claimed that he found a regression of Apache Spark 4.1.0, but 
> actually it's not true because Apache Spark 4.0.1 also has SPARK-53342 since 
> 2025-09-06.
> 
> Second, although Herman shared us a patch since last Friday, Herman also made 
> another PR containing the main code change 9 hours ago. In addition, 
> unfortunately, it also didn't pass our CIs yet. It simply means that there is 
> no complete patch yet in the community for both Apache Spark 4.1.0 and 4.0.2.
> 
> https://github.com/apache/spark/pull/53480
> ([SPARK-54696][CONNECT] Clean-up Arrow Buffers - follow-up)
> 
> In short, he seems to block RC3 as a mistake. I'm re-checking the situation 
> around RC3 vote and `branch-4.1` situation.
> 
> Dongjoon.
> 
> > > >
> > > > On 2025/12/15 14:59:32 Herman van Hovell via dev wrote:
> > > > > I pasted a non-existing link for the root cause. The actual link is 
> > > > > here:
> > > > > https://issues.apache.org/jira/browse/SPARK-53342
> > > > >
> > > > >
> > > > > On Mon, Dec 15, 2025 at 10:47 AM Herman van Hovell <
> > > > [email protected]>
> > > > > wrote:
> > > > >
> > > > > > Hey Dongjoon,
> > > > > >
> > > > > > Regarding your questions.
> > > > > >
> > > > > >    1. If you define a large-ish local relation (which makes us 
> > > > > > cache it
> > > > > >    on the serverside) and keep using it, then leak off-heap memory
> > > > every time
> > > > > >    it is being used. At some point the OS will OOM kill the driver.
> > > > While I
> > > > > >    have a repro, testing it like this in CI is not a good idea. As 
> > > > > > an
> > > > > >    alternative I am working on a test that checks buffer 
> > > > > > clean-up.For
> > > > the
> > > > > >    record I don't appreciate the term `claim` here; I am not 
> > > > > > blocking a
> > > > > >    release without genuine concern.
> > > > > >    2. The root cause is
> > > > > >    https://databricks.atlassian.net/browse/SPARK-53342 and not the
> > > > large
> > > > > >    local relations work.
> > > > > >    3. A PR has been open since Friday:
> > > > > >    https://github.com/apache/spark/pull/53452. I hope that I can get
> > > > it
> > > > > >    merged today.
> > > > > >    4. I don't see a reason why.
> > > > > >
> > > > > > Cheers,
> > > > > > Herman
> > > > > >
> > > > > > On Mon, Dec 15, 2025 at 5:47 AM Dongjoon Hyun <[email protected]>
> > > > wrote:
> > > > > >
> > > > > >> How can we verify the regression, Herman?
> > > > > >>
> > > > > >> It's a little difficult for me to evaluate your claim so far due to
> > > > the
> > > > > >> lack of the shared information. Specifically, there is no update 
> > > > > >> for
> > > > last 3
> > > > > >> days on "SPARK-54696 (Spark Connect LocalRelation support leak
> > > > off-heap
> > > > > >> memory)" after you created it.
> > > > > >>
> > > > > >> Could you provide us more technical information about your Spark
> > > > Connect
> > > > > >> issue?
> > > > > >>
> > > > > >> 1. How can we reproduce your claim? Do you have a test case?
> > > > > >>
> > > > > >> 2. For the root cause, I'm wondering if you are saying literally
> > > > > >> SPARK-53917 (Support large local relations) or another JIRA issue.
> > > > Which
> > > > > >> commit is the root cause?
> > > > > >>
> > > > > >> 3. Since you assigned SPARK-54696 to yourself for last 3 days, do 
> > > > > >> you
> > > > > >> want to provide a PR soon?
> > > > > >>
> > > > > >> 4. If you need more time, shall we simply revert the root cause 
> > > > > >> from
> > > > > >> Apache Spark 4.1.0 ?
> > > > > >>
> > > > > >> Thanks,
> > > > > >> Dongjoon
> > > > > >>
> > > > > >> On 2025/12/14 23:29:59 Herman van Hovell via dev wrote:
> > > > > >> > Yes. It is a regression in Spark 4.1. The root cause is a change
> > > > where
> > > > > >> we
> > > > > >> > fail to clean-up allocated (off-heap) buffers.
> > > > > >> >
> > > > > >> > On Sun, Dec 14, 2025 at 4:25 AM Dongjoon Hyun 
> > > > > >> > <[email protected]>
> > > > > >> wrote:
> > > > > >> >
> > > > > >> > > Hi, Herman.
> > > > > >> > >
> > > > > >> > > Do you mean that is a regression at Apache Spark 4.1.0?
> > > > > >> > >
> > > > > >> > > If then, do you know what was the root cause?
> > > > > >> > >
> > > > > >> > > Dongjoon.
> > > > > >> > >
> > > > > >> > > On 2025/12/13 23:09:02 Herman van Hovell via dev wrote:
> > > > > >> > > > -1. We need to get
> > > > > >> https://issues.apache.org/jira/browse/SPARK-54696
> > > > > >> > > fixed.
> > > > > >> > > >
> > > > > >> > > > On Sat, Dec 13, 2025 at 11:07 AM Jules Damji <
> > > > [email protected]
> > > > > >> >
> > > > > >> > > wrote:
> > > > > >> > > >
> > > > > >> > > > > +1 non-binding
> > > > > >> > > > > —
> > > > > >> > > > > Sent from my iPhone
> > > > > >> > > > > Pardon the dumb thumb typos :)
> > > > > >> > > > >
> > > > > >> > > > > > On Dec 11, 2025, at 8:34 AM, [email protected] wrote:
> > > > > >> > > > > >
> > > > > >> > > > > > Please vote on releasing the following candidate as 
> > > > > >> > > > > > Apache
> > > > > >> Spark
> > > > > >> > > > > version 4.1.0.
> > > > > >> > > > > >
> > > > > >> > > > > > The vote is open until Sun, 14 Dec 2025 09:34:31 PST and
> > > > passes
> > > > > >> if a
> > > > > >> > > > > majority +1 PMC votes are cast, with
> > > > > >> > > > > > a minimum of 3 +1 votes.
> > > > > >> > > > > >
> > > > > >> > > > > > [ ] +1 Release this package as Apache Spark 4.1.0
> > > > > >> > > > > > [ ] -1 Do not release this package because ...
> > > > > >> > > > > >
> > > > > >> > > > > > To learn more about Apache Spark, please see
> > > > > >> > > https://spark.apache.org/
> > > > > >> > > > > >
> > > > > >> > > > > > The tag to be voted on is v4.1.0-rc3 (commit 
> > > > > >> > > > > > e221b56be7b):
> > > > > >> > > > > > https://github.com/apache/spark/tree/v4.1.0-rc3
> > > > > >> > > > > >
> > > > > >> > > > > > The release files, including signatures, digests, etc. 
> > > > > >> > > > > > can
> > > > be
> > > > > >> found
> > > > > >> > > at:
> > > > > >> > > > > >
> > > > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc3-bin/
> > > > > >> > > > > >
> > > > > >> > > > > > Signatures used for Spark RCs can be found in this file:
> > > > > >> > > > > > https://downloads.apache.org/spark/KEYS
> > > > > >> > > > > >
> > > > > >> > > > > > The staging repository for this release can be found at:
> > > > > >> > > > > >
> > > > > >> > >
> > > > > >>
> > > > https://repository.apache.org/content/repositories/orgapachespark-1508/
> > > > > >> > > > > >
> > > > > >> > > > > > The documentation corresponding to this release can be
> > > > found at:
> > > > > >> > > > > >
> > > > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc3-docs/
> > > > > >> > > > > >
> > > > > >> > > > > > The list of bug fixes going into 4.1.0 can be found at 
> > > > > >> > > > > > the
> > > > > >> following
> > > > > >> > > URL:
> > > > > >> > > > > >
> > > > https://issues.apache.org/jira/projects/SPARK/versions/12355581
> > > > > >> > > > > >
> > > > > >> > > > > > FAQ
> > > > > >> > > > > >
> > > > > >> > > > > > =========================
> > > > > >> > > > > > How can I help test this release?
> > > > > >> > > > > > =========================
> > > > > >> > > > > >
> > > > > >> > > > > > If you are a Spark user, you can help us test this 
> > > > > >> > > > > > release
> > > > by
> > > > > >> taking
> > > > > >> > > > > > an existing Spark workload and running on this release
> > > > > >> candidate,
> > > > > >> > > then
> > > > > >> > > > > > reporting any regressions.
> > > > > >> > > > > >
> > > > > >> > > > > > If you're working in PySpark you can set up a virtual env
> > > > and
> > > > > >> install
> > > > > >> > > > > > the current RC via "pip install
> > > > > >> > > > >
> > > > > >> > >
> > > > > >>
> > > > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc3-bin/pyspark-4.1.0.tar.gz
> > > > > >> > > > > "
> > > > > >> > > > > > and see if anything important breaks.
> > > > > >> > > > > > In the Java/Scala, you can add the staging repository to
> > > > your
> > > > > >> > > project's
> > > > > >> > > > > resolvers and test
> > > > > >> > > > > > with the RC (make sure to clean up the artifact cache
> > > > > >> before/after so
> > > > > >> > > > > > you don't end up building with an out of date RC going
> > > > forward).
> > > > > >> > > > > >
> > > > > >> > > > > >
> > > > > >> ---------------------------------------------------------------------
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